Year 3
Programme overview for year 2022/2023
The programme overview is adopted 2022-02-17 by Dean of Education.
AUTUMN TERM
Study period 1
Compulsory courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2022 - aug 2023)MCC087 Microelectronics Examination 4.5 credits - Thu 27/10-2022 pm J
- Wed 04/01-2023 pm J
- Fri 25/08-2023 am J
MCC087 Microelectronics Project 3 credits S SSY051 Automatic control Examination 5.5 credits - Tue 25/10-2022 pm J
- Thu 05/01-2023 pm J
- Fri 18/08-2023 pm J
SSY051 Automatic control Laboratory 2 credits S
Study period 2
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2022 - aug 2023)DAT405 Introduction to data science and AI Written and oral assignments 7.5 credits E, 1) EDA234 Digital project laboratory Project 7.5 credits E, 1) EEK141 Electric power engineering Examination 3.7 credits 2), 1), 3) - Wed 11/01-2023 pm J
- Tue 04/04-2023 pm J
- Tue 22/08-2023 pm J
EEK141 Electric power engineering Design exercise + laboratory 3.8 credits S, 2), 1), 3) EEM021 High frequency electromagnetic waves Examination 6 credits 2), 1), 4) - Mon 09/01-2023 pm J
- Wed 05/04-2023 am J
- Tue 15/08-2023 pm J
EEM021 High frequency electromagnetic waves Laboratory 1.5 credits S, 2), 1), 4) ITS066 Gender and technology Take-home examination 7.5 credits E, 1), 5) MVE370 Mathematics and society Written and oral assignments 0 credits *, 1), 5) TDA417 Data structures and algorithms Laboratory 3 credits 1), 6), 7) TDA417 Data structures and algorithms Examination 4.5 credits S, 1), 6), 7) - Thu 12/01-2023 pm J
- Tue 14/03-2023 pm L
- Thu 17/08-2023 pm J
TEK226 Technology and society Written and oral assignments 7.5 credits E, 1), 5) TEK600 Digitalisation and society Take-home examination 7.5 credits E, 1), 5)
SPRING TERM
Study period 3
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2022 - aug 2023)CLS045 Global and intercultural competence Written and oral assignments 3 credits *, 1), 5) CTE031 History of technology Take-home examination 7.5 credits E, 1), 5) DAT405 Introduction to data science and AI Written and oral assignments 7.5 credits E, 1) DAT495 Data structures and algorithms Laboratory 3 credits 1), 6), 7) DAT495 Data structures and algorithms Examination 4.5 credits S, 1), 6), 7) - Tue 14/03-2023 pm L
- Thu 01/06-2023 pm J
- Thu 17/08-2023 pm J
EDA322 Digital design Laboratory 3 credits 2), 1), 8) EDA322 Digital design Examination 4.5 credits S, 2), 1), 8) - Wed 15/03-2023 pm J
- Fri 09/06-2023 pm J
- Thu 24/08-2023 pm J
EDA344 Computer communication Laboratory 2 credits 1) EDA344 Computer communication Examination 5.5 credits S, 1) - Wed 15/03-2023 pm J
- Tue 30/05-2023 am J
- Mon 14/08-2023 pm J
EDA482 Machine oriented programming Laboratory 3 credits 1), 9) EDA482 Machine oriented programming Examination 4.5 credits S, 1), 9) - Mon 13/03-2023 pm J
- Fri 02/06-2023 am J
- Fri 18/08-2023 am J
IEK415 Managerial economics Examination 4.5 credits 1) - Sat 11/03-2023 pm J
- Fri 09/06-2023 pm J
- Fri 18/08-2023 am J
IEK415 Managerial economics Project 3 credits S, 1) MVE370 Mathematics and society Written and oral assignments 3 credits *, 1), 5) SSY305 Communication systems Examination 7.5 credits E, 2), 1), 10) - Thu 16/03-2023 pm J
- Fri 09/06-2023 pm J
- Fri 18/08-2023 pm J
TEK226 Technology and society Written and oral assignments 7.5 credits E, 1), 5) TMA373 Partial differential equations, first course Laboratory (part A) 1.5 credits 1) TMA373 Partial differential equations, first course Examination (part B) 6 credits S, 1) - Mon 13/03-2023 am J
- Thu 08/06-2023 pm J
- Thu 24/08-2023 am J
Study period 4
Elective courses
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2022 - aug 2023)CLS045 Global and intercultural competence Written and oral assignments 4.5 credits *, E, 1), 5) DAT405 Introduction to data science and AI Written and oral assignments 7.5 credits E, 1) EDA333 Computer system engineering Examination 4.5 credits 1), 11) - Thu 01/06-2023 am J
- Fri 07/10-2022 am J
- Tue 15/08-2023 pm J
EDA333 Computer system engineering Laboratory 3 credits S, 1), 11) EDA483 Machine oriented programming Laboratory 3 credits 1), 9) EDA483 Machine oriented programming Examination 4.5 credits S, 1), 9) - Fri 02/06-2023 am J
- Mon 13/03-2023 pm J
- Fri 18/08-2023 am J
EEN070 Introduction to biomedical engineering Examination 4.5 credits 2), 1) - Mon 29/05-2023 pm J
- Sat 08/10-2022 am J
- Wed 16/08-2023 am J
EEN070 Introduction to biomedical engineering Laboratory 1 credits 2), 1) EEN070 Introduction to biomedical engineering Project 2 credits S, 2), 1) MVE370 Mathematics and society Written and oral assignments 4.5 credits *, E, 1), 5) MVE420 Emerging technologies, global risk and the future of humanity Project 7.5 credits E, 1), 5) TEK130 History of science Take-home examination 7.5 credits E, 1), 5) TEK250 Industrial management Examination 7.5 credits E, 1) - Wed 31/05-2023 pm J
- Sat 08/10-2022 pm J
- Fri 25/08-2023 pm J
TEK571 Ethics and technology Take-home examination 7.5 credits S, 1), 5)
Diploma thesis
Course code and nameModule, credits/periodBlockNoteExaminationRe-examination (okt 2022 - aug 2023)DATX11 Bachelor's thesis in Computer science and engineering Project 15 credits * EENX16 Bachelor's thesis in Electrical engineering Project 15 credits * MCCX11 Bachelor's thesis in Microtechnology and nanoscience Project 15 credits * SEEX16 Bachelor's thesis in Space, earth and environment Project 15 credits *
- 1 Compulsory elective: - (CLS045, CTE031, DAT405, DAT495, EDA234, EDA322, EDA333, EDA344, EDA482, EDA483, EEK141, EEM021, EEN070, IEK415, ITS066, MVE370, MVE420, SSY305, TDA417, TEK130, TEK226, TEK250, TEK571, TEK600, TMA373) 4 of stated courses are required for the degree
- 2 Compulsory elective: - (EDA322, EEK141, EEM021, EEN070, SSY305) 2 of stated courses are required for the degree
- 3 Recommendation: Pre-requisite for MPEPO (EEK141)
- 4 Recommendation: Pre-requisites for MPWPS (EEM015 or EEM021) (EEM021)
- 5 The course has theme MTS 7.5 credits
- 6 Overlap: Only one of the marked courses can be included in the degree (DAT495, TDA417)
- 7 Recommendation: Pre-requisite for MPDSC (Data Science) (DAT495, TDA417)
- 8 Recommendation: Pre-requisite for MPEES (EDA322)
- 9 Overlap: Only one of the marked courses can be included in the degree (EDA482, EDA483)
- 10 Recommendation: Recommended for MPCOM (SSY305)
- 11 Recommendation: Recommended for MPEES (EDA333)
- DIG: Digital examination is an examination written in the Inspera system. The student will bring their own computer and access the exam via Safe exam browser.
- S: Final grade. All module grades are reported before the final grade for the course can be reported.
- E: The only module in the course. Module grade and grade for the course are reported at the same time.
- *: The module includes education in another period